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Titlebook: Web Information Systems Engineering – WISE 2017; 18th International C Athman Bouguettaya,Yunjun Gao,Qing Li Conference proceedings 2017 Spr

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樓主: duodenum
31#
發(fā)表于 2025-3-26 21:42:29 | 只看該作者
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發(fā)表于 2025-3-27 03:28:22 | 只看該作者
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發(fā)表于 2025-3-27 08:55:40 | 只看該作者
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發(fā)表于 2025-3-27 11:04:08 | 只看該作者
Conference proceedings 2017t detection, cloud computing, query processing, spatial and temporal data, graph theory, crowdsourcing and crowdsensing, web data model, language processing and web protocols, web-based applications, data storage and generator, security and privacy, sentiment analysis, and recommender systems...?.
35#
發(fā)表于 2025-3-27 15:37:37 | 只看該作者
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發(fā)表于 2025-3-27 18:46:04 | 只看該作者
Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detectionults in a conditional vector representation of the tweet, with respect to the given target. We evaluate our proposed model on a recent, widely applied benchmark Stance Detection dataset from Twitter for the SemEval-2016 Task 6.A. Experimental results demonstrate that the proposed model substantially
37#
發(fā)表于 2025-3-27 22:48:00 | 只看該作者
A Network Based Stratification Approach for?Summarizing Relevant Comment Tweets of?News Articless of various news articles, while the unsupervised techniques fail to handle the noise and diversity of the tweets..In this paper, we propose a network community based unsupervised approach that effectively handles the problem of noise and diversity in tweet feeds to capture the relevant and the div
38#
發(fā)表于 2025-3-28 04:45:29 | 只看該作者
39#
發(fā)表于 2025-3-28 06:56:48 | 只看該作者
40#
發(fā)表于 2025-3-28 12:24:20 | 只看該作者
Social Personalized Ranking Embedding for?Next POI Recommendationations by social embedding for next POI recommendation. Our experiments on a real-world large-scale dataset (Foursquare) results show that our model outperforms the state-of-the-art next POI recommendation methods.
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